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      Robust paths to net greenhouse gas mitigation and negative emissions via advanced biofuels

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          Significance

          The climate benefits of cellulosic biofuels have been challenged based on carbon debt, opportunity costs, and indirect land use change, prompting calls for withdrawing support for research and development. Using a quantitative ecosystem modeling approach, which explicitly differentiates primary production, ecosystem carbon balance, and biomass harvest, we show that none of these arguments preclude cellulosic biofuels from realizing greenhouse gas mitigation. Our assessment illustrates how deliberate land use choices support the climate performance of current-day cellulosic ethanol technology and how technological advancements and carbon capture and storage addition could produce several times the climate mitigation potential of competing land-based biological mitigation schemes. These results affirm the climate mitigation logic of biofuels, consistent with their prominent role in many climate stabilization scenarios.

          Abstract

          Biofuel and bioenergy systems are integral to most climate stabilization scenarios for displacement of transport sector fossil fuel use and for producing negative emissions via carbon capture and storage (CCS). However, the net greenhouse gas mitigation benefit of such pathways is controversial due to concerns around ecosystem carbon losses from land use change and foregone sequestration benefits from alternative land uses. Here, we couple bottom-up ecosystem simulation with models of cellulosic biofuel production and CCS in order to track ecosystem and supply chain carbon flows for current and future biofuel systems, with comparison to competing land-based biological mitigation schemes. Analyzing three contrasting US case study sites, we show that on land transitioning out of crops or pasture, switchgrass cultivation for cellulosic ethanol production has per-hectare mitigation potential comparable to reforestation and severalfold greater than grassland restoration. In contrast, harvesting and converting existing secondary forest at those sites incurs large initial carbon debt requiring long payback periods. We also highlight how plausible future improvements in energy crop yields and biorefining technology together with CCS would achieve mitigation potential 4 and 15 times greater than forest and grassland restoration, respectively. Finally, we show that recent estimates of induced land use change are small relative to the opportunities for improving system performance that we quantify here. While climate and other ecosystem service benefits cannot be taken for granted from cellulosic biofuel deployment, our scenarios illustrate how conventional and carbon-negative biofuel systems could make a near-term, robust, and distinctive contribution to the climate challenge.

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          Most cited references58

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          A handful of carbon.

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            Ethanol can contribute to energy and environmental goals.

            To study the potential effects of increased biofuel use, we evaluated six representative analyses of fuel ethanol. Studies that reported negative net energy incorrectly ignored coproducts and used some obsolete data. All studies indicated that current corn ethanol technologies are much less petroleum-intensive than gasoline but have greenhouse gas emissions similar to those of gasoline. However, many important environmental effects of biofuel production are poorly understood. New metrics that measure specific resource inputs are developed, but further research into environmental metrics is needed. Nonetheless, it is already clear that large-scale use of ethanol for fuel will almost certainly require cellulosic technology.
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              Carbon-negative biofuels from low-input high-diversity grassland biomass.

              Biofuels derived from low-input high-diversity (LIHD) mixtures of native grassland perennials can provide more usable energy, greater greenhouse gas reductions, and less agrichemical pollution per hectare than can corn grain ethanol or soybean biodiesel. High-diversity grasslands had increasingly higher bioenergy yields that were 238% greater than monoculture yields after a decade. LIHD biofuels are carbon negative because net ecosystem carbon dioxide sequestration (4.4 megagram hectare(-1) year(-1) of carbon dioxide in soil and roots) exceeds fossil carbon dioxide release during biofuel production (0.32 megagram hectare(-1) year(-1)). Moreover, LIHD biofuels can be produced on agriculturally degraded lands and thus need to neither displace food production nor cause loss of biodiversity via habitat destruction.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                8 September 2020
                24 August 2020
                24 August 2020
                : 117
                : 36
                : 21968-21977
                Affiliations
                [1] aNatural Resource Ecology Laboratory, Colorado State University , Fort Collins, CO 80523;
                [2] bDepartment of Agricultural and Biological Engineering, The Pennsylvania State University , University Park, PA 16802;
                [3] cDepartment of Geography, The Pennsylvania State University , University Park, PA 16802;
                [4] dEarth and Environmental Systems Institute, The Pennsylvania State University , University Park, PA 16802;
                [5] eEnergy Systems Division, Argonne National Laboratory , Lemont, IL 60439;
                [6] fThayer School of Engineering, Dartmouth College , Hanover, NH 03755;
                [7] gArizona Experiment Station, University of Arizona , Tucson, AZ 85721;
                [8] hDepartment of Crop Sciences, University of Illinois at Urbana–Champaign , Urbana, IL 61801;
                [9] iLancaster Environment Centre, Lancaster University , LA1 4YQ Lancaster, United Kingdom;
                [10] jDepartment of Plant Biology, University of Illinois at Urbana–Champaign , Urbana, IL 61801;
                [11] kDepartment of Soil and Crop Sciences, Colorado State University , Fort Collins, CO 80523;
                [12] lSchool of Atmospheric Sciences, Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University , Guangzhou 510245, China;
                [13] mSouthern Marine Science and Engineering Guangdong Laboratory (Zhuhai) , Zhuhai 519082, China;
                [14] nSchool of Agricultural Engineering, University of Campinas , Campinas, SP 13083-875, Brazil;
                [15] oDepartment of Chemical and Biological Engineering, Colorado State University , Fort Collins, CO 80523;
                [16] pInstitute of Biological and Environmental Sciences, University of Aberdeen , AB24 3UU Aberdeen, United Kingdom
                Author notes
                2To whom correspondence may be addressed. Email: john.L.field@ 123456gmail.com .

                Edited by Christopher B. Field, Stanford University, Stanford, CA, and approved July 14, 2020 (received for review November 27, 2019)

                Author contributions: L.R.L. initiated the analysis; J.J.S. and L.R.L. acquired funding; J.L.F., T.L.R., E.A.H.S., K.P., and L.R.L. designed research; J.L.F. performed research; T.L.R., E.A.H.S., H.C., M.S.L., D.S.L., S.P.L., Z.Q., J.J.S., P.S., and M.Q.W. contributed new analytic tools; J.L.F. analyzed data; and J.L.F. and L.R.L. wrote the paper.

                1J.L.F. and L.R.L. contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-4451-8947
                https://orcid.org/0000-0003-3497-2011
                https://orcid.org/0000-0001-7228-053X
                https://orcid.org/0000-0002-8501-7164
                https://orcid.org/0000-0001-9414-4854
                https://orcid.org/0000-0003-4953-6634
                https://orcid.org/0000-0002-3784-1124
                https://orcid.org/0000-0002-5642-668X
                Article
                201920877
                10.1073/pnas.1920877117
                7486778
                32839342
                7c320f86-171e-48fa-a36a-615ef3650f92
                Copyright © 2020 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 10
                Funding
                Funded by: Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 501100001807
                Award ID: 2014/26767-9
                Award Recipient : John Field Award Recipient : Tom Richard Award Recipient : Erica A. H. Smithwick Award Recipient : John J Sheehan Award Recipient : Lee R Lynd
                Funded by: DOE | Office of Science (SC) 100006132
                Award ID: DE-AC05-00OR22725
                Award Recipient : John Field Award Recipient : Tom Richard Award Recipient : Keith Paustian Award Recipient : Lee R Lynd
                Funded by: USDA | National Institute of Food and Agriculture (NIFA) 100005825
                Award ID: 2013-68005-21298
                Award Recipient : John Field Award Recipient : Tom Richard Award Recipient : Keith Paustian
                Funded by: USDA | National Institute of Food and Agriculture (NIFA) 100005825
                Award ID: 2017-67019-26327
                Award Recipient : John Field Award Recipient : Tom Richard Award Recipient : Keith Paustian
                Funded by: USDA | National Institute of Food and Agriculture (NIFA) 100005825
                Award ID: 2012-68005-19703
                Award Recipient : John Field Award Recipient : Tom Richard Award Recipient : Keith Paustian
                Categories
                9
                Physical Sciences
                Sustainability Science
                Biological Sciences
                Environmental Sciences

                biofuels,beccs,ecosystem modeling,life cycle assessment,negative emissions

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